Abstract
Quantitative deformation analysis of landslides is a difficult problem in landslide study. The quantitative deformation analysis model of landslide based on multi-period DEM data is established by ArcGIS using four periods of topographic maps obtained in 1977, 1997, 2001, and 2010, in order to reveal the processes of landslide evolution in the Heifangtai Irrigation Area. The deformation amount and deformation rate were calculated in stages for 32 landslides along the margins of Heifangtai platform in Yongjing, Gansu Province. The mean retrograde eroding velocity of landslide scarp was 4.47 m/a from 1977 to 1997, 3.46 m/a from 1997 to 2001, and 1.10 m/a from 2001 to 2010. At the same time, the relational formula between irrigation amount and landslide deformation amount was established, and the landslide evolution tendencies were predicted. The calculation results show that the average retrograde distance of the landslide scarps will be 0.79 m by 2015 and can be reduced to 0.20 m by 2020.
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Acknowledgments
We gratefully thank Gansu Institute of Geo-Environment Monitoring for providing topographical maps in this paper. This study is supported by two projects of China Geological Survey, i.e., Study on Mechanism of Loess Collapses and Landslides Triggered by Irrigation Infiltration (Grant No. 1212011014024) and Detailed Survey of Geological Disasters in Loess Plateau Region in the Northwest China (Grant No. 1212010640330), and one project of National Key Technology R&D Program, i.e., Research and Demonstration of Prevention and Control Technologies for Huge Landslide Disasters in Disturbed Zones of Major Projects (Grant No. 2012BAK10B02).
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© 2014 Springer International Publishing Switzerland
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Xue, Q., Zhang, M., Zhu, L., Cheng, X., Pei, Y., Bi, J. (2014).
Quantitative Deformation Analysis of Landslides Based on Multi-period DEM Data.
In: Sassa, K., Canuti, P., Yin, Y. (eds) Landslide Science for a Safer Geoenvironment. Springer, Cham. https://doi.org/10.1007/978-3-319-05050-8_32
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DOI: https://doi.org/10.1007/978-3-319-05050-8_32
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